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We use a mesoscopic simulation approach to study the coupling and competition between grain-boundary-curvature driven and grain-rotation-coalescence induced grain growth in a 〈001〉 textured columnar microstructure.
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A lipid bilayer is modeled using a mesoscopic model designed to bridge atomistic bilayer simulations with macro-scale continuum-level simulation.
Via the use of a mesoscopic simulation technique called dissipative particle dynamics, we design sterically stable biocompatible vehicles through the self-assembly of a binary mixture composed of amphiphilic molecular species, such as PEGylated lipids, and phospholipids.
On Fig. 4, we present the extension of each N-terminal tail and H2A C-terminal tail based on results obtained using a mesoscopic oligonucleosome model [37].
For its simulation setup and output a mesoscopic simulation kernel software uses abstract matrix (array) representations for bead topology and connectivity.
Dissipative particle dynamics (DPD), a mesoscopic simulation approach, is used to investigate the effect of volume fraction of polyethylene (PE) and poly l-lactide) (poly l-lactidetructural PLLAerty on the immistructuralpropertybof nanothee immisciblem.
In present research, dissipative particle dynamics (DPD), a mesoscopic simulation method, has been used to investigate the self-assembly process of a surfactant/tetraethylorthosilicate (TEOS /water system in order to explore the structure formation mechanism of a mesoporous ZSM-5 zeolite.
It is therefore inevitable to adopt a mesoscopic simulation technique and bridge the gap between atomistic and mesoscopic simulations for an effective material design.
Molecular Fragment Dynamics (MFD) is a mesoscopic simulation technique based on Dissipative Particle Dynamics (DPD).
Molecular Fragment Dynamics (MFD) is a mesoscopic simulation technique based on dissipative particle dynamics.
Dissipative Particle Dynamics (DPD) is a mesoscopic simulation technique for isothermal complex fluids and soft matter systems that combines features from Molecular Dynamics (MD), Langevin Dynamics and Lattice-Gas Automata [1 5].
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